"Latent Semantic Analysis for Feature Selection: A Proposed Approach for ..."

Moemedi Lefoane et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ACIT62333.2024.10712556

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/acit4/LefoaneGKA24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acit4/LefoaneGKA24
Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan:
Latent Semantic Analysis for Feature Selection: A Proposed Approach for Anomaly Detection in Network Traffic. ACIT 2024: 517-522

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.